Description
Roku Data Engineering Project – To work on batch and streaming data generated from Roku TVs and other streaming devices
Requirements
1. Data engineer with 8+ years of hands – on experience (Principle Engineer I ) working on Big Data Platforms
2. Experience building and optimizing Big data data pipelines and data sets ranging from Data ingestion to Processing to Data Visualization.
3. Good Experience in writing and optimizing Spark Jobs, Spark SQL etc. Should have worked on both batch and steaming data processing
4. Good experience in any one programming language -Scala/Python , Python preferred.
5. Experience in writing and optimizing complex Hive and SQL queries to process huge data. good with UDFs, tables, joins,Views etc
6. Experience in using Kafka or any other message brokers
7. Configuring, monitoring and scheduling of jobs using Oozie and/or Airflow
8. Processing streaming data directly from Kafka using Spark jobs, expereince in Spark- streaming is must
9. Should be able to handling different file formats (ORC, AVRO and Parquet) and unstructured data
10. Should have experience with any one No SQL databases like Amazon S3 etc
11. Should have worked on any of the Data warehouse tools like AWS Redshift or Snowflake or BigQuery etc
12. Work expereince on any one cloud AWS or GCP or Azure
Good to have skills:
1. Experience in AWS cloud services like EMR, S3, Redshift, EKS/ECS etc
2. Experience in GCP cloud services like Dataproc, Google storage etc
3. Experience in working with huge Big data clusters with millions of records
4. Experience in working with ELK stack, specially Elasticsearch
5. Experience in Iceberg, Hadoop MapReduce, Apache Flink, Kubernetes etc
Job responsibilities
1. Data engineer with 8+ years of hands on experience working on Big Data Platforms
2. Experience building and optimizing Big data data pipelines and data sets ranging from Data ingestion to Processing to Data Visualization.
3. Good Experience in writing and optimizing Spark Jobs, Spark SQL etc. Should have worked on both batch and steaming data processing
4. Good experience in any one programming language -Scala/Python , Python preferred.
5. Experience in writing and optimizing complex Hive and SQL queries to process huge data. good with UDFs, tables, joins,Views etc
6. Experience in using Kafka or any other message brokers
7. Configuring, monitoring and scheduling of jobs using Oozie and/or Airflow
8. Processing streaming data directly from Kafka using Spark jobs, expereince in Spark- streaming is must
9. Should be able to handling different file formats (ORC, AVRO and Parquet) and unstructured data
10. Should have experience with any one No SQL databases like Amazon S3 etc
11. Should have worked on any of the Data warehouse tools like AWS Redshift or Snowflake or BigQuery etc
12. Work expereince on any one cloud AWS or GCP or Azure
Good to have skills:
1. Experience in AWS cloud services like EMR, S3, Redshift, EKS/ECS etc
2. Experience in GCP cloud services like Dataproc, Google storage etc
3. Experience in working with huge Big data clusters with millions of records
4. Experience in working with ELK stack, specially Elasticsearch
5. Experience in Hadoop MapReduce, Apache Flink, Kubernetes etc
What we offer
Exciting Projects: We focus on industries like High-Tech, communication, media, healthcare, retail and telecom. Our customer list is full of fantastic global brands and leaders who love what we build for them.
Collaborative Environment: You Can expand your skills by collaborating with a diverse team of highly talented people in an open, laidback environment — or even abroad in one of our global centers or client facilities!
Work-Life Balance: GlobalLogic prioritizes work-life balance, which is why we offer flexible work schedules, opportunities to work from home, and paid time off and holidays.
Professional Development: Our dedicated Learning & Development team regularly organizes Communication skills training(GL Vantage, Toast Master),Stress Management program, professional certifications, and technical and soft skill trainings.
Excellent Benefits: We provide our employees with competitive salaries, family medical insurance, Group Term Life Insurance, Group Personal Accident Insurance , NPS(National Pension Scheme ), Periodic health awareness program, extended maternity leave, annual performance bonuses, and referral bonuses.
Fun Perks: We want you to love where you work, which is why we host sports events, cultural activities, offer food on subsidies rates, Corporate parties. Our vibrant offices also include dedicated GL Zones, rooftop decks and GL Club where you can drink coffee or tea with your colleagues over a game of table and offer discounts for popular stores and restaurants!
About GlobalLogic
GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.
